"""
性能优化模块
高性能系统稳定性保障模块通过多线程技术、缓存优化和原子操作等方法，显著提升文件系统的性能，同时确保在资源受限环境下系统的稳定运行。
"""
#include <dokan.h>
#include <windows.h>
#include <iostream>
#include <map>
#include <mutex>
#include <thread>
#include <queue>
#include <list>
#include <algorithm>
#include <atomic>
#include <benchmark/benchmark.h>

// 缓存管理类
class CacheManager {
public:
    CacheManager(size_t maxSize) : maxSize_(maxSize) {}

    void AddToCache(const std::wstring& file, const std::vector<char>& data) {
        std::lock_guard<std::mutex> lock(mutex_);
        cache_[file] = data;
        usageList_.push_back(file);
        EnsureMaxSize();
    }

    void GetFromCache(const std::wstring& file, std::vector<char>& data) {
        std::lock_guard<std::mutex> lock(mutex_);
        auto it = cache_.find(file);
        if (it != cache_.end()) {
            data = it->second;
            usageList_.erase(std::remove(usageList_.begin(), usageList_.end(), file), usageList_.end());
            usageList_.push_back(file);
        }
    }

private:
    void EnsureMaxSize() {
        while (cache_.size() > maxSize_) {
            if (!usageList_.empty()) {
                std::wstring leastUsed = usageList_.front();
                cache_.erase(leastUsed);
                usageList_.pop_front();
            }
        }
    }

    std::map<std::wstring, std::vector<char>> cache_;
    std::list<std::wstring> usageList_;
    size_t maxSize_;
    std::mutex mutex_;
};

// 线程池类
class ThreadPool {
public:
    ThreadPool(size_t threads) : stop_(false) {
        for (size_t i = 0; i < threads; ++i) {
            workers_.emplace_back([this] {
                while (true) {
                    std::function<void()> task;
                    {
                        std::unique_lock<std::mutex> lock(queueMutex_);
                        condition_.wait(lock, [this] { return stop_ || !tasks_.empty(); });
                        if (stop_ && tasks_.empty()) return;
                        task = std::move(tasks_.front());
                        tasks_.pop();
                    }
                    task();
                }
            });
        }
    }

    template<class F, class... Args>
    void Enqueue(F&& f, Args&&... args) {
        {
            std::unique_lock<std::mutex> lock(queueMutex_);
            if (stop_) throw std::runtime_error("Enqueued after stopping.");
            tasks_.emplace(std::bind(std::forward<F>(f), std::forward<Args>(args)...));
        }
        condition_.notify_one();
    }

    ~ThreadPool() {
        {
            std::unique_lock<std::mutex> lock(queueMutex_);
            stop_ = true;
        }
        condition_.notify_all();
        for (std::thread& worker : workers_) worker.join();
    }

private:
    std::vector<std::thread> workers_;
    std::queue<std::function<void()>> tasks_;
    std::mutex queueMutex_;
    std::condition_variable condition_;
    bool stop_;
};

// 事务日志类
class TransactionLog {
public:
    void LogOperation(const std::wstring& operation) {
        std::lock_guard<std::mutex> lock(mutex_);
        log_.push_back(operation);
    }

    void RecoverFromLog() {
        std::wcout << L"Recovering from transaction log..." << std::endl;
        for (const auto& entry : log_) {
            std::wcout << L"Replaying operation: " << entry << std::endl;
        }
    }

private:
    std::vector<std::wstring> log_;
    std::mutex mutex_;
};

// 全局对象
CacheManager cacheManager(1024 * 1024 * 1024); // 1GB缓存
ThreadPool threadPool(4); // 4个线程
TransactionLog transactionLog;

// 性能优化回调函数
NTSTATUS OptimizePerformance(
    PDOKAN_FILE_INFO FileInfo
) {
    // 示例：使用自旋锁
    SpinLock m;
    {
        std::lock_guard<SpinLock> lg(m);
        // 示例：执行高性能操作
        std::atomic<uint32_t> counter;
        counter++;
    }

    // 示例：使用原子变量
    std::atomic<uint32_t> atomicCounter;
    atomicCounter++;

    return STATUS_SUCCESS;
}